Nikolaos Tsagkas
I am a PhD candidate at the School of Informatics, University of Edinburgh, supported by the Edinburgh Centre for Robotics. I am fortunate to be advised by Prof. Chris Xiaoxuan Lu (UCL) and Prof. Oisin Mac Aodha (UoE). My research focuses on leveraging pre-trained visual representations for robot learning.
Prior to my PhD, I earned an MSc in Artificial Intelligence with distinction in 2021 at the University of Edinburgh, under the supervision of Prof. Chris Williams, where I worked on inference and learning for generative capsule models. Before that, I spent a year as a Data Scientist at Ernst & Young. I hold a BSc and MSc in Electrical & Computer Engineering (2019) from the University of Patras, Greece, where I researched real-time hand-gesture recognition using sEMG signals under the guidance of Prof. A. Skodras.
- Feb 2025: đ New paper published on ArXiv! You can access it here: When Pre-trained Visual Representations Fall Short: Limitations in Visuo-Motor Robot Learning.
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- Oct 2024: đŁď¸ I will be presenting our paper, Click to Grasp, during the Robot Vision IV session from 09:00 to 10:00 on Fri 18 Oct at Room 4, IROS'24 in Abu Dhabi, UAE.
- Sep 2024: đŁď¸ Our paper, Click to Grasp, will be presented at the BMVA Symposium: Robotics Foundation & World Models in London.
- Aug 2024: đ New paper published on ArXiv! You can access it here: Learning Precise Affordances from Egocentric Videos for Robotic Manipulation.
- Jun 2024: đ Our paper, Click to Grasp: Zero-Shot Precise Manipulation via Visual Diffusion Descriptors, has been accepted at the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
- May 2023: đ Our paper, VL-Fields: Towards Language-Grounded Neural Implicit Spatial Representations, has been accepted (spotlight) at the Workshop on Effective Representations, Abstractions, and Priors for Robot Learning, ICRA 2023.
